Latest Articles for Data Privacy

Integrating artificial intelligence into O-RAN's SMO enhances network management and performance.

A new method improves sound localization accuracy while ensuring data privacy.

Explores the rise and impact of Foundation Models in artificial intelligence.

A look at linking user profiles across various social platforms.

A new method improving speech recognition while ensuring data privacy.

Exploring new economic models for data using quantum communication principles.

This article discusses privacy-focused data methods using federated learning and deep transfer hashing.

Innovative methods protect patient privacy while advancing medical research collaboration.

Decentralized Social Networks empower users with data control and privacy.

Examining local insights on mobile data privacy during a pandemic aid initiative.

Survey reveals attitudes toward health apps and data sharing across generations.

Exploring transcription's impact on nursing documentation in Switzerland.

Exploring Federated Learning's role in enhancing medical imaging while protecting patient privacy.

AI is transforming healthcare by enhancing patient care and reducing workloads.

Examining AI applications for improving health security in Southeast Asia.

New methods enhance distributed optimization while preserving agent data privacy.

Unlearning helps AI models forget specific information without losing critical skills.

Discover how Web3 and AI are reshaping the digital landscape.

Discover how Federated Learning addresses data privacy in connected devices.

A look into how Multi-LLM-Agent Systems work and their benefits.

Discover how Crackling-Cloud makes gene editing accessible for all researchers.

Synthetic data is changing how finance professionals analyze markets and make decisions.

A new framework improves how we handle data deletions efficiently.

AI agents learn together while preserving individual techniques for better results.

FedPAW uses federated learning to enhance vehicle speed predictions while ensuring privacy.

Discover how federated learning keeps data private while driving innovation.

Predicting mobile data usage with federated learning ensures efficiency and privacy.

MOFHEI transforms machine learning for better privacy and efficiency.

Learn how Vertical Federated Learning enhances data privacy in collaborative machine learning.

A new model to enhance cloud data security against malicious users.

Telehealth offers new hope for rural communities in Malaysia.